Create README.md

README.md

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+---
+base_model:
+- tencent/HunyuanVideo-I2V
+library_name: diffusers
+pipeline_tag: image-to-video
+---
+
+Unofficial community fork for Diffusers-format weights on [`tencent/HunyuanVideo-I2V`](https://huggingface.co/tencent/HunyuanVideo-I2V).
+
+### Using Diffusers
+
+HunyuanVideo-I2V can be used directly from Diffusers. Install the latest version of Diffusers.
+
+```python
+import torch
+from diffusers import HunyuanVideoImageToVideoPipeline, HunyuanVideoTransformer3DModel
+from diffusers.utils import load_image, export_to_video
+
+# Available checkpoints: "hunyuanvideo-community/HunyuanVideo-I2V" and "hunyuanvideo-community/HunyuanVideo-I2V-33ch"
+model_id = "hunyuanvideo-community/HunyuanVideo-I2V"
+transformer = HunyuanVideoTransformer3DModel.from_pretrained(
+    model_id, subfolder="transformer", torch_dtype=torch.bfloat16
+)
+pipe = HunyuanVideoImageToVideoPipeline.from_pretrained(
+    model_id, transformer=transformer, torch_dtype=torch.float16
+)
+pipe.vae.enable_tiling()
+pipe.to("cuda")
+
+prompt = "A man with short gray hair plays a red electric guitar."
+image = load_image(
+    "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png"
+)
+
+output = pipe(image=image, prompt=prompt).frames[0]
+export_to_video(output, "output.mp4", fps=15)
+```
+
+Refer to the [documentation](https://huggingface.co/docs/diffusers/main/en/api/pipelines/hunyuan_video) for more information.